Closer Look at the Transferability of Adversarial Examples: How They Fool Different Models Differently

Futa Waseda, Sosuke Nishikawa, Trung-Nghia Le +2

Deep neural networks are vulnerable to adversarial examples (AEs), which have adversarial transferability: AEs generated for the source model can mislead another (target) model's p…